Types of Data + Meta Analysis Flashcards
What is qualitative data?
Data expressed in words. Usually contains peoples opinions.
Name 3 research methods that obtain qualitative data.
Interview
Questionnaires
Unstructured observations
What is quantitative data?
Data expressed numerically
Why does qualitative data usually have higher external validity?
Data produced is usually broader and richer, so PPTs are able to give more detailed reports about their feelings/opinions on a subject.
Why is qualitative data difficult to analyse?
It cannot be summarised statistically so patterns between data can be hard to identify.
Why is it hard to draw conclusions from quantitative data?
Conclusions are subjective interpretations of the researcher and may be subject to bias.
Why is quantitative data easy to analyse?
It is numerical so can undergo statistical analysis.
Why might quantitative data be harder to generalise to real life?
It is objective and more narrower than opinions.
What is primary data?
Name 3 research methods that could collect primary data.
Data collected first hand by the researcher.
Can be collected in experiments, interviews or observations
What is secondary data?
Where might we get secondary data from?
Data collected previously by someone else.
Could be collected from journals, books, websites etc
What are the strengths of primary data?
Gained first hand from the PPTs and matches up a particular investigation.
What are the strengths of secondary data?
Inexpensive and easy to collect. May already exist for the exact investigation you are studying, saving time and money.
What are issues with primary data?
Require lots of time and effort to collect.
Explain 2 limitations of secondary data.
May lack quality or depth needed to match researchers needs.
Could be outdated, leading issues with the validity of the researchers conclusions.
What is a meta analysis?
A number of studies with the same hypothesis are matched and compared to create a joint conclusion about a topic
